PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-17 10:22:56.813433+00:00 (UTC)
In US/Central Time, this is 2024-08-17 05:22:56.813433-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/215174023036b7d7efac0dc3d2a0e4453327806a19b1ac562b8e792d9ea02edb.png
We are just generating a random time serie here.
../_images/393f6f8777dfbdb3146e6ac4475d7115551df1107e4b64cc389e0d678db27708.png
../_images/810fe76171dd01384aea5b61ee3d0a3e5cce3d74ee16c624c6f9def071a6d7a7.png